Wearable Sensors for Gait and Motion Analysis 2019-2020
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (20 November 2020) | Viewed by 4021
Special Issue Editors
Interests: biomechanical engineering; paralympic sports; human–robot collaboration; rehabilitation; motion analysis
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanical engineering; musculo-skeletal and orthopaedic biomechanics; bone mechanics; medical and healthcare engineering
Special Issues, Collections and Topics in MDPI journals
Interests: human motion analysis; motion tracking; gait analysis; wearable sensors; surface electromyography (EMG); motor control; biomechanics; neurorehabilitation; muscle synergies; medical signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wearable sensors are increasingly used to perform human gait and motion measurements. Some key issues of this success are their features of unobtrusiveness, light-weight, and possibility to be used out of the lab, low costs and ease of use.
Wearable sensors were initially employed as diagnostic and monitoring tools for gait analysis, both to assess spatio-temporal gait parameters and joint kinematics. Nowadays, their main applications are still in the healthcare field, but new potential applications are emerging: Sport activities, e-health, tele-rehabilitation, elderly monitoring, human activity recognition, sleep quality detection and wellness. More in general, all the activities that directly or indirectly involve motion might benefit from wearable sensors systems.
Wearable sensor-based systems can measure kinematic variables of a single or multiple body segments of the subject during motion. Although many researches have been reported on this topic, some issues associated to the reconstruction and analysis of the kinematics during motion are still an open challenge for the scientific community, especially in those fields that require high accuracy. Robust protocols and data post-processing are still work in progress, especially in cases in which there can be a high variability of motion patterns.
We invite original research papers and review articles aimed at proposing new kinds of wearable gait sensor systems, new methods for sensor signal processing, reports on applications in healthcare field, innovative and non-traditional motion analysis applications.
Contributions may include, but are not limited to:
- characterization of systems, techniques and methods for motion and gait analysis
- clinical reports using wearable sensors
- wearable sensors, methods and/or techniques for physiological monitoring
- wearable sensors, methods and/or techniques for medical decision making
- wearable sensors, methods and/or techniques for telemedicine applications
- wearable sensors, methods and/or techniques for human activity recognition and sleep quality detection
- wearable sensor for motion analysis
- innovative applications of wearable sensor systems
Prof. Dr. Laura Gastaldi
Prof. Valentina Agostini
Prof. Dr. Shigeru Tadano
Guest Editors
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Keywords
- wereable sensors
- gait analysis
- motion analysis
- balance and postural analysis
- health monitoring
- elderly monitor activity
- sleep monitoring
- tele-rehabilitation
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